The 17th SICE System Integration Division Annual Conference (SI2016) focuses on a wide variety of fields such as Robotics, Disaster prevention, Medical care/welfare, etc. This presentation award is provided to the authors who gave an excellent oral presentation, and this award is endorsed by an executive committee of this conference from among all presentations.

The bird’s-eye view system is one of the image presentation systems for remote control of robots. However, when there are obstacles that are higher than the floor, there is a problem that the appearances of them are incorrectly shown on the bird’s-eye view image due to the image distortion. That is because the image is generated under the assumption that all objects are present on the floor. In this paper, we propose a method to visualize correctly the areas where obstacles are present on the bird’s-eye view image by using 3D measurement data. Specifically, the information of the robot’s distance from obstacles measured by a depth sensor is superimposed onto the bird’s-eye view image as points with colors obtained by fish-eye cameras. The bird’s-eye view image generated by the proposed method can improve the visibility of the surrounding environment.

I am very honored to receive this prize. I am extremely grateful to my supervisors and co-authors for giving me a lot of advice on this research. Our research group intends to continue our vigorous research activities to develop the system in the future.